Projects

NYU Generalizable Robotics and AI Lab (GRAIL)

My current resarch lab at NYU CILVR.

Machine Learning Reproducibility Conference 2025

Volunteered at the first in-person MLRC held in Princeton.

Apple WWDC 2022

My first project featured at WWDC.

AnitaB.org Open Source

Mentor for AnitaB.org Open Source GSoC project.

WIT Podcast

My first tech podcast episode. (Also the channel's first guest!)

My Projects

Machine-Learning-notebooks

2025Python + Scikit-learn + TensorFlow

End-to-end ML experiments covering supervised, unsupervised, and deep learning workflows. Includes custom preprocessing pipelines, model evaluation scripts, and visualizations for model interpretability.

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Open-Teach (Modified)

2025Python + ROS + Meta Quest 3

Extended the teleoperation framework to support multiple camera streams for robotic manipulation tasks. The collected data is used for reinforcement and imitation learning policy training.

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ControlNet (Modified)

2024Python

Explored ControlNet for object-specific conditioning by integrating custom control channels like depth, Canny, and segmentation. Added GroundingDINO for region grounding and tuned key parameters for efficient inference.

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Foundation-of-Data-Science-Project

2024Python + Pandas + Matplotlib

Conducted applied statistical analysis and hypothesis testing on real-world datasets. Built end-to-end data analysis workflows with visualization and regression modeling.

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Behavior-Detection-in-Patients

2024Python + Scikit-learn + OpenCV

Developed a computer vision pipeline for patient monitoring using video data to detect fatigue and fall behavior. Implemented frame-level classification and temporal analysis to identify anomalies in movement.

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CardStackKit

2022Swift + SwiftUI

Created a reusable SwiftUI component library for interactive, animated card stacks. Focused on gesture handling, modular design, and smooth transition animations.

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Smart-India-Hackathon-ISRO

2021Python + Flask + Satellite Imagery APIs

Built a disaster response system using satellite imagery to assess crop and farmland damage. Developed geospatial analysis and visualization tools as part of an ISRO-led hackathon challenge.

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Abha Wadjikar